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ravi.sankar.duvvuri

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About ravi.sankar.duvvuri

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  • Name
    D Ravi Sankar
  • Company
    Intervet India Pvt. Ltd.
  • Designation
    Manager - Projects

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    89
  1. Hi VK, Hope I can rejuvenate the OP and continue it. I am interested in three of the topics mentioned in your OP and I am not clear about the way we take up those issues in six sigma. I try to put my thoughts here so that you can help me correct where ever I am missing something. The first one is improving CSI. I can't think beyond this point that improving customer ratings is a logical process and those points where customer is unsatisfied is clearly visible without having to go through any data analysis. As far as weightages are concerned, it is company's philosophy as to what is more important and what is less. Improving forecasting efficiency is clear to me, as long as the data is accurate. Even thought the data is accurate, there are always chances for a marketing guy to complain that there could have been more sales if he had more product in their hands. If we only focus on the data that is available to us, we may miss link to the potential possibility. I am totally blank on using six sigma for improving channel effectiveness beyond conventional means. I would appreciate if I get any leads in this regard or references to existing projects. Regards,
  2. Hi Shantanu, That would be great. Can you give me some online references so that I can do some homework and come prepared? Secondly, non normality of this parrticular data seems dubious to me as similar data in next process step seems to be normal. Any suggestions regarding this would be quite helpful. Regards, Ravi
  3. Greetings, I am trying to analyse variations in a biological process. I used Anderson-Darling test and found out that the data is not normal. The sampling interval is one day and chances of manipulating data are very rare. The data is presented in the excel file (Count.xls) I attached here. The actual data points are of the form a*10^6. Since, I initially considered only the multiples, I then checked for lognormality but the same result occured. Despite that I ran xmr chart and the outliers seem to coincide with the ones that can be analysed with subject matter knowledge. I read from many references that analysing non normal data by standard techniques give significantly faulty results. In this scenario, is it safe for me to go by logic and do normal analysis or should I use any other specific tools? I am attending BB programme in Pune next month. Do we generally discuss analysis of non normal data in BB Programme or should I go for any specific references? PS: My excel spreadsheet got saved in GroupFiles Folder Regards,
  4. There is nothing much to disagree with you after my 12 years stint with pharma (in projects and maintenance). Nevertheless, fair comparison can't be done without taking human factor into picture. Whether it is cGMP or ISO the game is to get the certification and these are snap shot audits. You can be successful even without having to fully complying the standards. On the other hand, six sigma success is only visible if the company benefits from its practices and there is no intermediate way.
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